{
    "action": "tool_call",
    "reasoning": "The evidence from my earlier queries isn't visible in this turn, so I'll re-run one consolidated duplicate-company query across the five monthly tables before finalising.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS month, lower(trim(\"Company Name\")) AS company, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT 'Feb', lower(trim(\"Company Name\")), Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT 'Mar', lower(trim(\"Company Name\")), Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT 'Apr', lower(trim(\"Company Name\")), Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT 'May', lower(trim(\"Company Name\")), Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\") SELECT company, month, Amount, Stage FROM u WHERE company IN (SELECT company FROM u GROUP BY company HAVING COUNT(*) > 1) ORDER BY company, month",
        "purpose": "List every company that appears more than once across the monthly tables, with month, amount and stage, to separate true duplicates from repeat rounds",
        "source": "raw"
    }
}